⚠️ Heads-up to anyone using the DeepSeek-V3.2-Exp inference demo: earlier versions had a RoPE implementation mismatch in the indexer module that could degrade performance. Indexer RoPE expects non-interleaved input, MLA RoPE expects interleaved. Fixed in https://t.co/2BDzSyt1cW.

🛠 Open Source Release 📦 DeepSeek-V3.2 Model: https://t.co/Kh8HzHl3uX 📦 DeepSeek-V3.2-Speciale Model: https://t.co/ZKUg5IC0AJ 📄 Tech report: https://t.co/hduS9hlMpX 5/n

💻 API Update 🔹 V3.2: Same usage pattern as V3.2-Exp. 🔹 V3.2-Speciale: Served via a temporary endpoint: base_url=" https://t.co/WoEd0WDQ5x". Same pricing as V3.2, no tool calls, available until Dec 15th, 2025, 15:59 (UTC Time). 💡 V3.2 now supports Thinking in Tool-Use —

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🤖 Thinking in Tool-Use 🔹 Introduces a new massive agent training data synthesis method covering 1,800+ environments & 85k+ complex instructions. 🔹 DeepSeek-V3.2 is our first model to integrate thinking directly into tool-use, and also supports tool-use in both thinking and

🏆 World-Leading Reasoning 🔹 V3.2: Balanced inference vs. length. Your daily driver at GPT-5 level performance. 🔹 V3.2-Speciale: Maxed-out reasoning capabilities. Rivals Gemini-3.0-Pro. 🥇 Gold-Medal Performance: V3.2-Speciale attains gold-level results in IMO, CMO, ICPC World

🚀 Launching DeepSeek-V3.2 & DeepSeek-V3.2-Speciale — Reasoning-first models built for agents! 🔹 DeepSeek-V3.2: Official successor to V3.2-Exp. Now live on App, Web & API. 🔹 DeepSeek-V3.2-Speciale: Pushing the boundaries of reasoning capabilities. API-only for now. 📄 Tech

🛠 Open Source Release 🔗 Model: https://t.co/kORJG3nCWN 🔗 Tech report: https://t.co/X8Wcqbhg5a 🔗 Key GPU kernels in TileLang & CUDA (use TileLang for rapid research prototyping!) 4/n

💻 API Update 🎉 Lower costs, same access! 💰 DeepSeek API prices drop 50%+, effective immediately. 🔹 For comparison testing, V3.1-Terminus remains available via a temporary API until Oct 15th, 2025, 15:59 (UTC Time). Details: https://t.co/3RNKA89gHR 🔹 Feedback welcome:

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⚡️ Efficiency Gains 🤖 DSA achieves fine-grained sparse attention with minimal impact on output quality — boosting long-context performance & reducing compute cost. 📊 Benchmarks show V3.2-Exp performs on par with V3.1-Terminus. 2/n

🚀 Introducing DeepSeek-V3.2-Exp — our latest experimental model! ✨ Built on V3.1-Terminus, it debuts DeepSeek Sparse Attention(DSA) for faster, more efficient training & inference on long context. 👉 Now live on App, Web, and API. 💰 API prices cut by 50%+! 1/n

📊 DeepSeek-V3.1-Terminus delivers more stable & reliable outputs across benchmarks compared to the previous version. 👉 Available now on: App / Web / API 🔗 Open-source weights here: https://t.co/Jh4RudofKm Thanks to everyone for your feedback. It drives us to keep improving

🚀 DeepSeek-V3.1 → DeepSeek-V3.1-Terminus The latest update builds on V3.1’s strengths while addressing key user feedback. ✨ What’s improved? 🌐 Language consistency: fewer CN/EN mix-ups & no more random chars. 🤖 Agent upgrades: stronger Code Agent & Search Agent performance.

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Pricing Changes 💳 🔹 New pricing starts & off-peak discounts end at Sep 5th, 2025, 16:00 (UTC Time) 🔹 Until then, APIs follow current pricing 📝 Pricing page: https://t.co/IyYitNzedg 5/5

Model Update 🤖 🔹 V3.1 Base: 840B tokens continued pretraining for long context extension on top of V3 🔹 Tokenizer & chat template updated — new tokenizer config: https://t.co/r3y717EVFp 🔗 V3.1 Base Open-source weights: https://t.co/5wlDui34hH 🔗 V3.1 Open-source weights:

Tools & Agents Upgrades 🧰 📈 Better results on SWE / Terminal-Bench 🔍 Stronger multi-step reasoning for complex search tasks ⚡️ Big gains in thinking efficiency 3/5

API Update ⚙️ 🔹 deepseek-chat → non-thinking mode 🔹 deepseek-reasoner → thinking mode 🧵 128K context for both 🔌 Anthropic API format supported: https://t.co/DcWmJMA1CP ✅ Strict Function Calling supported in Beta API: https://t.co/jFhJQ4wyN3 🚀 More API resources, smoother

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Introducing DeepSeek-V3.1: our first step toward the agent era! 🚀 🧠 Hybrid inference: Think & Non-Think — one model, two modes ⚡️ Faster thinking: DeepSeek-V3.1-Think reaches answers in less time vs. DeepSeek-R1-0528 🛠️ Stronger agent skills: Post-training boosts tool use and

🚀 DeepSeek-R1-0528 is here! 🔹 Improved benchmark performance 🔹 Enhanced front-end capabilities 🔹 Reduced hallucinations 🔹 Supports JSON output & function calling ✅ Try it now: https://t.co/IMbTch8Pii 🔌 No change to API usage — docs here: https://t.co/Qf97ASptDD 🔗

🚀 DeepSeek-V3-0324 is out now! 🔹 Major boost in reasoning performance 🔹 Stronger front-end development skills 🔹 Smarter tool-use capabilities ✅ For non-complex reasoning tasks, we recommend using V3 — just turn off “DeepThink” 🔌 API usage remains unchanged 📜 Models are

🚀 Day 6 of #OpenSourceWeek: One More Thing – DeepSeek-V3/R1 Inference System Overview Optimized throughput and latency via: 🔧 Cross-node EP-powered batch scaling 🔄 Computation-communication overlap ⚖️ Load balancing Statistics of DeepSeek's Online Service: ⚡ 73.7k/14.8k

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